Data cleansing is a critical step in ensuring the ________ of data.
- Accuracy
- Completeness
- Consistency
- Integrity
Data cleansing, also known as data cleaning or data scrubbing, focuses on ensuring the completeness of data by removing or correcting errors, inconsistencies, and inaccuracies. It involves processes such as removing duplicate records, correcting typos, and standardizing formats to improve data quality and reliability for analysis and decision-making.
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